Instructions to use shubhamsingh123/mnist-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shubhamsingh123/mnist-model with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://shubhamsingh123/mnist-model") - Notebooks
- Google Colab
- Kaggle
Download sample_data/mnist_test.csv from shubhamsingh123/mnist-model: direct link, hf CLI and curl.
- Browser
- Download file 18.3 MB
-
https://huggingface.co/shubhamsingh123/mnist-model/resolve/main/sample_data/mnist_test.csv
- Command line
-
hf download hf://shubhamsingh123/mnist-model/sample_data/mnist_test.csv
-
curl -L -o mnist_test.csv https://huggingface.co/shubhamsingh123/mnist-model/resolve/main/sample_data/mnist_test.csv
18.3 MB
- Xet hash:
- 20998aadf6580db0fe51a86855da381214b5c25d503851cc28c80d259abd2cfc
- Size of remote file:
- 18.3 MB
- SHA256:
- 51c292478d94ec3a01461bdfa82eb0885d262eb09e615679b2d69dedb6ad09e7
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